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This repository has been archived by the owner on Sep 18, 2024. It is now read-only.
More case studies on the byproducts of Neural Architecture Search:
MobileNetV3
MobileDet
Swish
These case studies do not need to fully implemented. Minimal demonstrations should be sufficient enough for users to expand the case studies.
Also being able to specify hardware-aware constraints in the search space is an important use-case for NAS. An example showing how to do that would be useful.
Why is this needed:
Without establishing NNI's Retiarii capabilities transfer well to the existing line of works, it might be hard for researchers to adapt Retiarii for their own use.
The text was updated successfully, but these errors were encountered:
@sayakpaul , thanks for your great suggestions. we have an WiP pr here which implemented the space of Swish. We expect users to directly use this module in their PyTorch/TensorFlow model to automatically find out the best activation function specifically for their model.
What would you like to be added:
More case studies on the byproducts of Neural Architecture Search:
These case studies do not need to fully implemented. Minimal demonstrations should be sufficient enough for users to expand the case studies.
Also being able to specify hardware-aware constraints in the search space is an important use-case for NAS. An example showing how to do that would be useful.
Why is this needed:
Without establishing NNI's Retiarii capabilities transfer well to the existing line of works, it might be hard for researchers to adapt Retiarii for their own use.
The text was updated successfully, but these errors were encountered: